Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the read-only, non-destructive, open-world profile, and the description adds real behavior: page size of 25, the underlying GET /working_sessions endpoint, and the fields returned. It does not mention limits on date-range span, ordering, or pagination termination, which keeps it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three compact sentences, front-loaded with the core action and filters, then return fields, then pagination and endpoint. Every sentence carries information an agent would otherwise have to infer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description helpfully enumerates the returned fields (start, end, break, location, employee, confirmation status). Nothing is said about ordering or auth requirements, but for a simple read-only list tool the coverage is nearly sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters are already documented including the yyyy-mm-dd pattern and the next_page handoff for paging. The description restates range and employee scoping plus the 25-per-page rule without adding format or constraint detail beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List worked-time entries (clock-ins)') and scopes the query by date range and optional employee. It is clearly the collection-level counterpart to papershift_get_time_tracking, though it never names that sibling to make the split explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage via the filter description (start date required, end date and employee optional), so an agent can infer when it fits. But it gives no explicit guidance on when to prefer this over papershift_get_time_tracking for a single entry, or over papershift_list_evaluations for aggregated hours.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.